Parameter-Efficient Tuning of Transformer Models for Anglicism Detection and Substitution in Russian

This article is devoted to the problem of Anglicisms in texts in Russian: the tasks of detection and automatic rewriting of the text with the substitution of Anglicisms by their Russian-language equivalents. Within the framework of the study, we present a parallel corpus of Anglicisms and models that identify Anglicisms in the text and replace them with the Russian equivalent, preserving the stylistics of the original text.